DataSonifyer
DataSonifyer is a free online tool (no registration required) that turns data into sound. It creates “audible” information from numeric values by translating the datasets into musical parameters (pitch, volume, rhythm, etc.). The result is similar to a musical score that can be played and recorded. DataSonifyer was developed in 2023 by Christian Basl, supported by the Innovation Fund of the Science Press Conference.
https://studio.datasonifyer.de/en
TwoTone
TwoTone is a free, web-based tool (no downloads required) that turns data into sound and music—no coding or musical expertise necessary. Originally developed by Datavized Technologies with support from the Google News Initiative and now maintained by Sonify, the project was commissioned by Simon Rogers at Google and advised by Alberto Cairo. TwoTone uses data sonification to help users understand complex datasets and create data-driven compositions, offering an intuitive interface that works on desktops, tablets, and phones.
Music Algorithms
Music Algorithms offers a step-by-step approach to creating your own music from data—no advanced musical knowledge required. Simply load or paste a comma-separated sequence of numbers, then use a series of tools to map those values into musical pitches and durations, lock them to a scale, and finally play and export your composition as a MIDI file. Whether you’re exploring algorithmic composition or just experimenting with aural representations of data, these interactive features let you transform numbers into creative soundscapes.
https://musicalgorithms.org/4.1/app/#
MAX
Max is a flexible, visual programming environment originally developed by Miller Puckette at IRCAM in the 1980s. Though not specifically designed for data sonification, it offers that capability. While Max does have a steep learning curve, it also boasts extensive documentation, a wealth of tutorials, and a supportive user community that shares tips and instructional videos.
Pure Data
This free open source alternative to MAX is well documented by its community but might not be as beginner friendly.
References
https://mlaetsc.hcommons.org/2023/01/18/data-sonification-for-beginners
